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Remote Data Science Internship No Experience Jobs in Renton, WA

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

THE ROLE As a Data Product Analyst, you will help identify promising markets, companies, products ... COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and ...

New

Machine Learning Engineer III

Bellevue, WA · On-site +1

$148K - $225K/yr

Deploy machine learning and data-science to simplify shopping experience for pet-parents, to improve reach and discovery of new products of Chewy vendors and helping build a mutually beneficial ...

Showing results 41-60

Remote Data Science Internship No Experience information

See Renton, WA salary details

$13

$25

$47

How much do remote data science internship no experience jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote data science internship no experience in Renton, WA is $25.31, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $27.60 per hour, depending on experience, location, and employer.
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Cheminformatics Specialist - Remote

micro1 AI

Kent, WA • On-site, Remote

$90 - $120/hr

Part-time

Posted 14 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.